TextBoxGANGenerate text boxes from input words with a GAN.
Stars: ✭ 50 (-12.28%)
tt-vae-ganTimbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.
Stars: ✭ 37 (-35.09%)
Pixel2style2pixelOfficial Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"
Stars: ✭ 1,395 (+2347.37%)
ADL2019Applied Deep Learning (2019 Spring) @ NTU
Stars: ✭ 20 (-64.91%)
Csa InpaintingCoherent Semantic Attention for image inpainting(ICCV 2019)
Stars: ✭ 202 (+254.39%)
gan-qp.pytorchUnofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"
Stars: ✭ 26 (-54.39%)
NatsrNatural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)
Stars: ✭ 105 (+84.21%)
domain adaptDomain adaptation networks for digit recognitioning
Stars: ✭ 14 (-75.44%)
DeepSIMOfficial PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
Stars: ✭ 389 (+582.46%)
gan-weightnorm-resnetGenerative Adversarial Network with Weight Normalization + ResNet
Stars: ✭ 19 (-66.67%)
CsiGANAn implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.
Stars: ✭ 23 (-59.65%)
Lsd SegLearning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Stars: ✭ 99 (+73.68%)
steam-stylegan2Train a StyleGAN2 model on Colaboratory to generate Steam banners.
Stars: ✭ 30 (-47.37%)
Generative MLZSL[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning
Stars: ✭ 37 (-35.09%)
seqgan-musicImplementation of a paper "Polyphonic Music Generation with Sequence Generative Adversarial Networks" in TensorFlow
Stars: ✭ 21 (-63.16%)
AdvSegLossOfficial Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]
Stars: ✭ 24 (-57.89%)
StyleGANCppUnofficial implementation of StyleGAN's generator
Stars: ✭ 25 (-56.14%)
TaganAn official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018
Stars: ✭ 97 (+70.18%)
AdverseBiNetImproving Document Binarization via Adversarial Noise-Texture Augmentation
Stars: ✭ 34 (-40.35%)
MAD-GAN-MLCAMPRepository for MAD-GAN Paper done in ML CAMP Jeju
Stars: ✭ 17 (-70.18%)
PorousmediaganReconstruction of three-dimensional porous media using generative adversarial neural networks
Stars: ✭ 94 (+64.91%)
IrwGANOfficial pytorch implementation of the IrwGAN for unaligned image-to-image translation
Stars: ✭ 33 (-42.11%)
SpecganSpecGAN - generate audio with adversarial training
Stars: ✭ 92 (+61.4%)
esrganEnhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution
Stars: ✭ 48 (-15.79%)
CS231nPyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
Stars: ✭ 47 (-17.54%)
DraganA stable algorithm for GAN training
Stars: ✭ 189 (+231.58%)
GanspaceDiscovering Interpretable GAN Controls [NeurIPS 2020]
Stars: ✭ 1,224 (+2047.37%)
BicycleGANTensorflow implementation of the NIPS paper "Toward Multimodal Image-to-Image Translation"
Stars: ✭ 30 (-47.37%)
path planning GANPath Planning using Generative Adversarial Network (GAN)
Stars: ✭ 36 (-36.84%)
ganbert-pytorchEnhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
Stars: ✭ 60 (+5.26%)
GAN-Anime-CharactersApplied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.
Stars: ✭ 43 (-24.56%)
Gan2shapeCode for GAN2Shape (ICLR2021 oral)
Stars: ✭ 183 (+221.05%)
BicycleganToward Multimodal Image-to-Image Translation
Stars: ✭ 1,215 (+2031.58%)
ganA 1D toy example of optimizing a generative model using the WGAN-GP model.
Stars: ✭ 21 (-63.16%)
market risk gan tensorflowUsing Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.
Stars: ✭ 63 (+10.53%)
Markov Chain GanCode for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
Stars: ✭ 76 (+33.33%)
pytorch-GANMy pytorch implementation for GAN
Stars: ✭ 12 (-78.95%)
ganbertEnhancing the BERT training with Semi-supervised Generative Adversarial Networks
Stars: ✭ 205 (+259.65%)
coursera-gan-specializationProgramming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Stars: ✭ 277 (+385.96%)
WganTensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
Stars: ✭ 228 (+300%)